ube4b · Linear
reference_ube4b_lr_plm_contiguousf3_20261105-040938
Metrics
| Set | mse | pearsonr | spearmanr | r2 | above_wt_n | above_wt_spearmanr | budget_to_max | hit_rate_at_10 | mean_at_10 | max_at_10 | precision_at_10 | tie_share_at_10 | captured_at_10 | hit_rate_at_50 | mean_at_50 | max_at_50 | precision_at_50 | tie_share_at_50 | captured_at_50 | hit_rate_at_100 | mean_at_100 | max_at_100 | precision_at_100 | tie_share_at_100 | captured_at_100 | hit_rate_at_1pct | mean_at_1pct | max_at_1pct | precision_at_1pct | tie_share_at_1pct | captured_at_1pct |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| train | 2.3948 | 0.6480 | 0.6237 | 0.3833 | 5445.0000 | 0.4835 | 4541.0000 | 1.0000 | 5.0244 | 8.6246 | 0.2000 | 0.0000 | 0.7409 | 1.0000 | 4.5664 | 8.6246 | 0.2400 | 0.0000 | 0.7981 | 1.0000 | 4.4748 | 8.6246 | 0.4500 | 0.0000 | 0.8440 | 0.9818 | 4.1725 | 8.6246 | 0.5682 | 0.0000 | 0.8800 |
| validation | 2.4655 | 0.3478 | 0.3038 | 0.1146 | 933.0000 | -0.0765 | 951.0000 | 0.0000 | -1.3538 | -0.1452 | 0.0000 | 0.0000 | -0.0486 | 0.2000 | -1.1327 | 2.1010 | 0.0000 | 0.0000 | -0.0087 | 0.2000 | -1.3118 | 2.1010 | 0.0100 | 0.0000 | -0.0605 | 0.2105 | -1.2623 | 0.6790 | 0.0000 | 0.0000 | -0.0379 |
| test | 3.9248 | 0.2307 | 0.2551 | -0.0456 | 323.0000 | -0.0508 | 861.0000 | 0.3000 | -0.5559 | 0.7848 | 0.0000 | 0.0000 | 0.2043 | 0.2800 | -0.6730 | 3.1584 | 0.0600 | 0.0000 | 0.2359 | 0.2900 | -0.6389 | 3.1584 | 0.0700 | 0.0000 | 0.2803 | 0.2800 | -0.8377 | 3.1584 | 0.0000 | 0.0000 | 0.1845 |
Loss per epoch
training
validation
Config
name: reference_ube4b_lr_plm_contiguousf3 task: dms data: dataset: ube4b encoding: one_hot,aa_index,plm,plm_sum split_dir: null split_scheme: contiguous split_fold: 3 model: name: lr train: epochs: 300 batch_size: 64 learning_rate: 0.0001 patience: 15 min_delta: 1.0e-05 seed: 7